Abstract
With the rapid development of radar technology, various new systems and new modes of radar are emerging, and radar signal sorting technology is undoubtedly an important part of studying radar signals. This article introduces the radar pulse characteristic parameters and the basic theory of machine learning. And for the radar pulse signals of known categories, PDW is used as the sorting feature, and the supervised algorithm in the machine learning algorithm is used for sorting. The supervised algorithm selects the algorithm based on the probability-based decision tree and the distance-based KNN algorithm to sort the radar signals, and the sorting accuracy rate is more than 95%, which shows the great sorting effect.
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